Training course on Artificial Intelligence in Recruitment and Talent Acquisition

Module 1: Introduction to AI in Recruitment

Overview of AI and machine learning in HR

The evolution of recruitment technology

Benefits and challenges of AI in hiring

Module 2: AI Tools and Platforms in Recruitment

Applicant Tracking Systems (ATS) with AI capabilities

Chatbots and virtual assistants for candidate communication

AI-driven job boards and sourcing platforms

Module 3: Candidate Sourcing and Screening with AI

Automated resume parsing and shortlisting

Matching algorithms for candidate-job fit

Reducing time-to-hire and cost-per-hire with AI

Module 4: Enhancing Candidate Experience through AI

Personalized communication and engagement

Virtual interview platforms with AI evaluation

Creating inclusive and user-friendly hiring journeys

Module 5: AI for Diversity and Inclusion in Recruitment

Identifying and mitigating unconscious bias

AI tools supporting diverse candidate pipelines

Balancing fairness and efficiency

Module 6: Predictive Analytics in Talent Acquisition

Forecasting hiring needs with data models

Predicting candidate performance and retention

Linking analytics to workforce planning

Module 7: Ethical, Legal, and Data Privacy Considerations

GDPR, EEOC, and labor law compliance

Risks of algorithmic bias in hiring

Responsible use of AI in recruitment

Module 8: Case Studies and Best Practices

Success stories from leading organizations using AI in recruitment

Lessons learned from failures and controversies

Industry benchmarks and trends

Module 9: Workshop – Designing an AI-Enhanced Recruitment Process

Identifying stages of recruitment suitable for AI integration

Selecting tools for sourcing, screening, and candidate engagement

Group presentation of AI recruitment strategy

Module 10: Future of AI in Talent Acquisition

Emerging trends: VR interviews, voice AI, gamified assessments

AI’s role in gig economy and remote workforce recruitment

Preparing HR teams for continuous AI evolution